ArticleGenomics, proteomics & bioinformatics2025
HiLand Resource: A Comprehensive Database of Highland Human Populations.
Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Database resources of the National Genomics Data Center, China National Center for Bioinformation in 2026.Nucleic acids research · 2026Article
- Harnessing Large Cohorts and AI to Bridge Genomic Discovery and Clinical Practice.Genomics, proteomics & bioinformatics · 2025Article
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Authors and funding
10 authors.
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Abstract
Over 80 million people worldwide live at high altitudes (> 2500 m), where numerous studies have documented the remarkable biological adaptations of highland populations to these extreme environments. However, current resources for accessing and analyzing highlander-specific data remain limited. To address this gap, we present the HiLand Resource (HLR), a comprehensive database that integrates phenomic, genomic, and genetic association data from 23,336 highlanders across three major high-altitude regions: the Qinghai-Tibet Plateau, the Andean Plateau, and the Ethiopian Plateau. HLR offers six key functions: (1) visualization of phenotypic patterns among highlanders from the Qinghai-Tibet Plateau across different altitudes, as well as comparison between highlanders and lowlanders, and between sexes; (2) an interactive interface to explore genomic diversity, population structure, ancestral composition, and signatures of natural selection of high-altitude populations; (3) access to a comprehensive catalog of genome-wide variants and genes identified in highlanders; (4) a genome browser built on a high-quality Tibetan genome assembly; (5) a curated collection of genotype-phenotype associations derived from genome-wide association studies (GWASs) in highland populations; and (6) an online, user-friendly tool for genotype imputation using a highland-specific reference panel. Collectively, HLR provides a novel and in-depth resource for understanding the biological features of high-altitude human populations. It holds significant potential for advancing research on human adaptation to hypoxic environments and improving medical studies focused on highland communities. The HLR database is freely available at https://ngdc.cncb.ac.cn/hiland/.
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